Jonathan D. Chesnut
Impact in
- Aging top 5%
Papers in
-
- CRISPR and Genetic Engineering 25
- Pluripotent Stem Cells Research 11
- Viral Infectious Diseases and Gene Expression in Insects 11
- RNA Interference and Gene Delivery 10
- Advanced biosensing and bioanalysis techniques 8
- RNA and protein synthesis mechanisms 6
- Co-authors
- Jason PotterShantanu KumarNamritha RavinderXiquan LiangUma LakshmipathySridhar RanganathanJason CarteYanfei Zou
- Journals
- Journal of Biotechnology (8 papers)Stem Cells (3 papers)Stem Cells and Development (3 papers)SLAS DISCOVERY (2 papers)ACS Synthetic Biology (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Jonathan D. Chesnut
38 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Aging 73
- Business and International Management 77
- Molecular Biology 2.1k
- Genetics 492
- Cancer Research 242
Countries citing papers authored by Jonathan D. Chesnut
This map shows the geographic impact of Jonathan D. Chesnut's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan D. Chesnut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Chesnut more than expected).
Fields of papers citing papers by Jonathan D. Chesnut
This network shows the impact of papers produced by Jonathan D. Chesnut. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan D. Chesnut. The network helps show where Jonathan D. Chesnut may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan D. Chesnut, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 1 | |
| 2 | 2019 | 71 | |
| 3 | 2016 | 179 | |
| 4 | 2016 | 132 | |
| 5 | 2015 | 5 | |
| 6 | Rapid and highly efficient mammalian cell engineering via Cas9 protein transfection Hit paper breakdown → | 2015 | 563 |
| 7 | 2013 | 17 | |
| 8 | 2009 | 27 | |
| 9 | 2009 | 22 | |
| 10 | 2009 | 13 | |
| 11 | 2009 | 9 | |
| 12 | 2008 | 16 | |
| 13 | 2008 | 24 | |
| 14 | 2008 | 19 | |
| 15 | 2007 | 237 | |
| 16 | 2007 | 91 | |
| 17 | 2007 | 140 | |
| 18 | 2005 | 34 | |
| 19 | 2004 | 97 | |
| 20 | 2000 | 34 |
About Jonathan D. Chesnut
Jonathan D. Chesnut is a scholar working on Molecular Biology, Developmental Neuroscience, Genetics, Cancer Research and Biotechnology, having authored 38 papers that have together received 2.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (25 papers), Pluripotent Stem Cells Research (11 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers), RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (8 papers), RNA and protein synthesis mechanisms (6 papers), Animal Genetics and Reproduction (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Aging (73 citations), Business and International Management (77 citations), Molecular Biology (2.1k citations), Genetics (492 citations) and Cancer Research (242 citations). Jonathan D. Chesnut has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Jason Potter, Shantanu Kumar, Namritha Ravinder, Xiquan Liang, Uma Lakshmipathy, Sridhar Ranganathan, Jason Carte, Yanfei Zou, Mahalakshmi Sridharan and Wen Chen. Their work appears in journals such as Journal of Biotechnology, Stem Cells, Stem Cells and Development, SLAS DISCOVERY and ACS Synthetic Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.